Vehicle Technician

Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Level 6 Sales Data Scientist Apprentice

Senior Data Science Engineer

Founding Engineer - Chief of AI and Computer Vision

Data Science Manager at Severn Trent – Coventry, England, GB

Data Science Manager (Metaheuristics)

Data Science Manager (Metaheuristics)

Vehicle Tech #INDCB

Location: Leeds

We are seeking a highly skilled and innovative Vehicle Technology Engineer to join our team. In this role, you will be responsible for the development, integration, and testing of advanced technologies used in vehicles, including autonomous driving systems, electric powertrains, connectivity solutions, and in-vehicle infotainment systems. You will work with a cross-functional team to improve vehicle performance, safety, and user experience while staying ahead of industry trends and regulations.

Key Responsibilities:

  • Research & Development: Conduct research on emerging vehicle technologies (autonomous systems, electric vehicles, connectivity, etc.), staying updated on industry advancements.

  • Design & Prototyping: Design and prototype new vehicle technologies, including sensors, communication systems, battery management systems, and control algorithms.

  • System Integration: Integrate hardware and software components into vehicle systems, ensuring optimal performance, safety, and reliability.

  • Testing & Validation: Plan and execute testing of new technologies, including simulation, road tests, and software/hardware validation.

  • Collaboration: Work closely with cross-disciplinary teams, including electrical engineers, software developers, mechanical engineers, and project managers, to ensure project timelines and technical goals are met.

  • Data Analysis: Analyze vehicle performance data to identify issues, propose solutions, and continuously improve vehicle systems.

  • Compliance & Standards: Ensure compliance with local and international safety, environmental, and regulatory standards.

  • Troubleshooting: Identify and resolve issues related to vehicle systems, ensuring minimal downtime and optimal system operation.

    Required Skills and Qualifications:

  • Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Automotive Engineering, or a related field.

  • Hands-on experience in vehicle system design, integration, and testing.

  • Proficiency in programming languages such as Python, C++, MATLAB, or other relevant software tools.

  • Familiarity with vehicle communication protocols (CAN, LIN, Ethernet, etc.) and embedded systems.

  • Experience with simulation and modeling tools (e.g., Simulink, CarSim, etc.).

  • Knowledge of electric vehicle powertrains, autonomous driving systems, infotainment, and connected car technologies.

  • Strong problem-solving, analytical, and troubleshooting skills.

  • Excellent communication and teamwork abilities.

    Preferred Skills:

  • Experience with AI/machine learning techniques applied to autonomous driving or vehicle safety.

  • Knowledge of automotive cybersecurity principles.

  • Familiarity with regulatory compliance for autonomous vehicles or electric vehicle infrastructure.

  • Experience in cloud computing or data analytics for vehicle diagnostics.

    Work Environment:

  • This position may require occasional travel for testing, site visits, or industry events

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.